The reported declines in populations of several native species have biological, cultural and economic implications as cattle and illegal logging. To understand factors supporting endangered species conservation and management in Benin, we focused on plantations of dry zone Mahogany (Khaya senegalensis (Desr.) A.Juss.) in sudano-guinean zone of Benin. This study illustrates how the dry zone mahogany is established in plantations in Benin. It discusses the challenges for its appropriate conservation and management in Benin.

Objective: Pentadesma butyracea is a multi-purpose tree species in Africa with great morphological variability. This study used quantitative descriptors to assess morphological variation of traditionally classified P. butyracea and its relation to ecological conditions. Methodology and results: 108 trees and 1080 fruits were sampled spanning locally recognized trees morphotypes within four phytodistricts.Six morphological descriptors were measured on the trees and the fruits. Univariate and canonical discrimiant analyses were used to describe variability enters and inside the populations of P. butyracea. These data were supplemented by an evaluation and a modelling of the seeds number per fruit (the principal trait of commercial importance). Principal components analysis (ACP) was carried out to examine ecological influence. The variance components analysis showed substantial variations within morphotypes, suggesting a significant heterogeneity within trees and fruits traditionally classified as belonging to the same morphotypes. Regression equations indicated that fruits length and width are good predictors of seeds yield, although their predictive capacities differ between the phytodistricts. Fruits morphometric variations were significantly correlated with ecological factors. Fruits size (length, width) decreased with temperature, hygrometry and pluviometry increase. Conclusion and application: The quantitative descriptors made it possible to make precise morphotypes of the various P. butyrarcea trees and to estimate the seeds number per fruit starting from predictive models. This will have positive influence on P. butyracea improvement, conservation and domestication programs in aid of Benin local communities.